1. Polynomial-based graph convolutional neural networks for graph classification

   • Luca Pasa
   • Nicolò Navarin
   • Alessandro Sperduti

   OriginalPaper 09 November 2021 Pages: 1205 - 1237

   

2. Few-shot learning for spatial regression via neural embedding-based Gaussian processes

   • Tomoharu Iwata
   • Yusuke Tanaka

   OriginalPaper 12 November 2021 Pages: 1239 - 1257

   

3. Handling epistemic and aleatory uncertainties in probabilistic circuits

   • Federico Cerutti
   • Lance M. Kaplan
   • Murat Şensoy

   OriginalPaper 10 January 2022 Pages: 1259 - 1301

   

4. Lifting symmetry breaking constraints with inductive logic programming

   • Alice Tarzariol
   • Martin Gebser
   • Konstantin Schekotihin

   OriginalPaper Open access 19 April 2022 Pages: 1303 - 1326

   

5. SDANet: spatial deep attention-based for point cloud classification and segmentation

   • Jiangjiang Gao
   • Jinhui Lan
   • Feifan Li

   OriginalPaper 30 March 2022 Pages: 1327 - 1348

   

6. Efficient SVDD sampling with approximation guarantees for the decision boundary

   • Adrian Englhardt
   • Holger Trittenbach
   • Klemens Böhm

   OriginalPaper Open access 07 April 2022 Pages: 1349 - 1375

   

7. Unsupervised anomaly detection in multivariate time series with online evolving spiking neural networks

   • Dennis Bäßler
   • Tobias Kortus
   • Gabriele Gühring

   OriginalPaper Open access 10 March 2022 Pages: 1377 - 1408

   

8. Time-aware tensor decomposition for sparse tensors

   • Dawon Ahn
   • Jun-Gi Jang
   • U Kang

   OriginalPaper 27 September 2021 Pages: 1409 - 1430

   

9. Lipschitzness is all you need to tame off-policy generative adversarial imitation learning

   • Lionel Blondé
   • Pablo Strasser
   • Alexandros Kalousis

   OriginalPaper Open access 04 April 2022 Pages: 1431 - 1521

   

10. Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework

    • Ludovico Mitchener
    • David Tuckey
    • Alessandra Russo

    OriginalPaper Open access 07 April 2022 Pages: 1523 - 1549

    

11. A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning

    • András Hajdu
    • György Terdik
    • Henrietta Tomán

    OriginalPaper Open access 18 November 2021 Pages: 1551 - 1595

    

12. Improving sequential latent variable models with autoregressive flows

    • Joseph Marino
    • Lei Chen
    • Stephan Mandt

    OriginalPaper 18 November 2021 Pages: 1597 - 1620